By Michael Schumacher
Based on a definitely outlined coordination version distinguishing among goal (inter-agent) coordination and subjective (intra-agent) coordination, this booklet addresses the engineering of multi-agent platforms and hence contributes to ultimate the distance among study and purposes in agent know-how. After reviewing the state-of-the-art, the writer introduces the overall coordination version ECM and the corresponding object-oriented coordination language STL++. The practicability of ECM/STL++ is illustrated by means of the simulation of a specific collective robotics software and the automation of an e-commerce buying and selling system.
Situated on the intersection of behavior-based synthetic intelligence and concurrent and disbursed platforms, this monograph is of relevance to the agent R&D group coming near near agent know-how from the dispensed man made intelligence viewpoint in addition to for the disbursed structures community.
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Extra info for Objective Coordination in Multi-Agent System Engineering: Design and Implementation
Object-oriented languages are often used as a natural framework for the construction of agent-based applications. 1. Therefore, it was natural that methodologies such as the Object Modeling Technique (OMT) [RBP+ 91] have been proposed as a base for agent-oriented methodologies. In [Bur96], for instance, Burmeister proposes a methodology based on OMT. The author defines three models and appropriate process steps for the design of multi-agent applications, all conceived in a mental perspective. First, in the agent model, agents are described by their beliefs, motivations, plans and cooperative attributes.
The work presented in this book has been developed in the framework of research aimed at solutions for applications in the fields of robotics and distributed systems. For this reason, we are mainly interested in simulated embodied autonomous agents [CKS+ 98], [CDSH98]. More precisely, we design multi-agent simulations of collective robotics [BHD94], [MM95], [Mat95], [CH99], whereby global tasks are achieved thanks to emergence. Our simulated robots are operationally autonomous agents: there is no centralized control of the behaviour of the agents, because each agent acts by itself on the basis of its perception and in accordance with its rules (sensing and acting are strictly local to the agent).
Coordination models and languages are precisely aimed at providing solutions for these problems: they use coordination media and tools so as to deal with the consequences of the concurrency and the spatial distribution of the supporting processes. Therefore, to realize a MAS on a concurrent and distributed architecture in the most natural way, an appropriate coordination model and corresponding language are needed. 6 Implementing MAS Applications 31 Agent Model Agent Language Subjective Coordination Objective Coordination Coordination Model MODELING DESIGNING Distributed Architecture Agent Tasks Coordination Language IMPLEMENTING Fig.
Objective Coordination in Multi-Agent System Engineering: Design and Implementation by Michael Schumacher